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Temp #18
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* llama.swift : exclude ggml-metal-embed.metal * swift : exclude build/
* ggml : add ggml_flash_attn_ext_get_prec * metal : use F16 precision in FA kernels ggml-ci * metal : minor clean-up * metal : compile-guard bf16 FA kernels ggml-ci * build : remove obsolete compile flag [no ci] * metal : prevent int overflows [no ci] * cuda : disable BF16 FA ggml-ci * metal : fix BF16 requirement for FA kernels ggml-ci * make : clean-up [no ci]
* metal : opt-in compile flag for BF16 ggml-ci * ci : use BF16 ggml-ci * swift : switch back to v12 * metal : has_float -> use_float ggml-ci * metal : fix BF16 check in MSL ggml-ci
…-org#10156) This change upstreams llamafile's cpu matrix multiplication kernels for ppc64le using MMA builtins for FP32 datatype. This change results in a consistent 90% improvement in input processing time, and 20% to 80% improvement in output processing time, across various batch sizes. The patch is tested with Meta-Lllama-3-8B, Mistral-7B, Llama-2-7B-chat-hf models on a IBM POWER10 machine. Signed-off-by: Amrita H S <[email protected]>
…ator when ‘ne’ is small (ggml-org#10213)
* metal : reorder write loop * metal : int -> short, style ggml-ci
* Add back samplers to server * Added tooltips with basic information * Fixed stretching of input fields. * use component for settings input, move help msg to tooltips --------- Co-authored-by: Xuan Son Nguyen <[email protected]>
Flake lock file updates: • Updated input 'nixpkgs': 'github:NixOS/nixpkgs/807e9154dcb16384b1b765ebe9cd2bba2ac287fd?narHash=sha256-l253w0XMT8nWHGXuXqyiIC/bMvh1VRszGXgdpQlfhvU%3D' (2024-10-29) → 'github:NixOS/nixpkgs/4aa36568d413aca0ea84a1684d2d46f55dbabad7?narHash=sha256-Zwl8YgTVJTEum%2BL%2B0zVAWvXAGbWAuXHax3KzuejaDyo%3D' (2024-11-05) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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